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  1. 論文誌(ジャーナル)
  2. Vol.65
  3. No.2

Text-mining Analysis of What Students Think About e-learning and Face-to-face Classes during COVID-19

https://ipsj.ixsq.nii.ac.jp/records/232396
https://ipsj.ixsq.nii.ac.jp/records/232396
69a99974-8c08-40fc-9c52-77ce9a89c5f1
名前 / ファイル ライセンス アクション
IPSJ-JNL6502010.pdf IPSJ-JNL6502010.pdf (977.1 kB)
 2026年2月15日からダウンロード可能です。
Copyright (c) 2024 by the Information Processing Society of Japan
非会員:¥0, IPSJ:学会員:¥0, 論文誌:会員:¥0, DLIB:会員:¥0
Item type Journal(1)
公開日 2024-02-15
タイトル
タイトル Text-mining Analysis of What Students Think About e-learning and Face-to-face Classes during COVID-19
タイトル
言語 en
タイトル Text-mining Analysis of What Students Think About e-learning and Face-to-face Classes during COVID-19
言語
言語 eng
キーワード
主題Scheme Other
主題 [特集:創造的学習のための教育におけるコンピュータ] e-learning, online class, face-to-face class, COVID-19
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者所属
Kobe Women's University
著者所属
Keihousha
著者所属(英)
en
Kobe Women's University
著者所属(英)
en
Keihousha
著者名 Minae, Nishimoto

× Minae, Nishimoto

Minae, Nishimoto

Search repository
Keiji, Emi

× Keiji, Emi

Keiji, Emi

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著者名(英) Minae, Nishimoto

× Minae, Nishimoto

en Minae, Nishimoto

Search repository
Keiji, Emi

× Keiji, Emi

en Keiji, Emi

Search repository
論文抄録
内容記述タイプ Other
内容記述 We have analyzed what students think about e-learning and face-to-face classes during COVID-19 by using text-mining. In the spring semester of 2020 instructors and students experienced for the first time class tuition that was not face-to-face but e-learning. These students showed significantly different features compared to students in other semesters.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.32(2024) (online)
DOI http://dx.doi.org/10.2197/ipsjjip.32.122
------------------------------
論文抄録(英)
内容記述タイプ Other
内容記述 We have analyzed what students think about e-learning and face-to-face classes during COVID-19 by using text-mining. In the spring semester of 2020 instructors and students experienced for the first time class tuition that was not face-to-face but e-learning. These students showed significantly different features compared to students in other semesters.
------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.32(2024) (online)
DOI http://dx.doi.org/10.2197/ipsjjip.32.122
------------------------------
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN00116647
書誌情報 情報処理学会論文誌

巻 65, 号 2, 発行日 2024-02-15
ISSN
収録物識別子タイプ ISSN
収録物識別子 1882-7764
公開者
言語 ja
出版者 情報処理学会
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